VS: facial sculpting in the virtual world

YiFan Gao*, Manolya Kavakli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)
58 Downloads (Pure)

Abstract

Facial recognition systems, one of the fastest growing biometric technologies today, require the development of new quality assurance and assessment procedures on their performances for national and personal security. Recent progress on Virtual Reality (VR) has introduced a great number of techniques to generate realistic facial models in order to develop a database for face identification and recognition purposes. In this paper, we describe a framework which integrates VR tools to traditional facial modeling process. Such framework does not only give more freedom to the sculptors, but also the potential to create a more comprehensive facial database for further facial recognition.

Original languageEnglish
Title of host publication2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
EditorsPatrick Kellenberger
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Print)0769527310
DOIs
Publication statusPublished - 2007
EventCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce - Sydney, NSW, Australia
Duration: 28 Nov 20061 Dec 2006

Other

OtherCIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies and International Commerce
Country/TerritoryAustralia
CitySydney, NSW
Period28/11/061/12/06

Bibliographical note

Copyright 2006 IEEE. Reprinted from Proceedings of the International conference on computational intelligence for modelling, control and automation (CIMCA 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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